Upload NorbertForSequenceClassification

config.json

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+{
+  "_name_or_path": "ltg/norbert3-base",
+  "architectures": [
+    "NorbertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "auto_map": {
+    "AutoConfig": "ltg/norbert3-base--configuration_norbert.NorbertConfig",
+    "AutoModel": "ltg/norbert3-base--modeling_norbert.NorbertModel",
+    "AutoModelForMaskedLM": "ltg/norbert3-base--modeling_norbert.NorbertForMaskedLM",
+    "AutoModelForMultipleChoice": "ltg/norbert3-base--modeling_norbert.NorbertForMultipleChoice",
+    "AutoModelForQuestionAnswering": "ltg/norbert3-base--modeling_norbert.NorbertForQuestionAnswering",
+    "AutoModelForSequenceClassification": "ltg/norbert3-base--modeling_norbert.NorbertForSequenceClassification",
+    "AutoModelForTokenClassification": "ltg/norbert3-base--modeling_norbert.NorbertForTokenClassification"
+  },
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6"
+  },
+  "intermediate_size": 2048,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6
+  },
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_all_encoded_layers": true,
+  "position_bucket_size": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
+  "vocab_size": 50000
+}

pytorch_model.bin

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+size 521354813